Simulation Training System of Airborne Early Warning Based on Intelligence Decision-making

Author(s):  
Fang Li ◽  
Chen Xiangping ◽  
Tu Wenjie ◽  
Cheng Min
Author(s):  
Xiaohui Liao ◽  
Hao Wang ◽  
Jinliang Niu ◽  
Jingbo Xiao ◽  
Chuan Liu

2014 ◽  
Vol 971-973 ◽  
pp. 646-649
Author(s):  
Qing Song Zhao

The structural framework for the car’s assembly line simulation training system of the SWET(Simulated Work Environment Training) is designed overall, including two automatic car assembly lines and two manually run the disassembly line. The automatic control system of the car’s assembly line simulation training system is designed with the knowledge of electrical and electronic, SCM principles, counts the number of the car, automatically pause and open the line with alarm and automatic recovery control.


Author(s):  
Mark Wiggins ◽  
David O'Hare

Inappropriate and ineffective weather-related decision making continues to account for a significant proportion of general aviation fatalities in the United States and elsewhere. This study details the evaluation of a computer-based training system that was developed to provide visual pilots with the skills necessary to recognize and respond to the cues associated with deteriorating weather conditions during flight. A total of 66 pilots were assigned to one of two groups, and the evaluation process was undertaken at both a self-report and performance level. At the self-report level, the results suggested that pilots were more likely to use the cues following exposure to the training program. From a performance perspective, there is evidence to suggest that cue-based training can improve the timeliness of weather-related decision making during visual flight rules flight. Actual or potential applications of this research include the development of computer-based training systems for fault diagnosis in complex industrial environments.


2021 ◽  
Vol 2023 (1) ◽  
pp. 012051
Author(s):  
Yinghua Dong ◽  
Xin Yang ◽  
Lu Yang ◽  
Xi Liu ◽  
Renhui Zhang

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